Topology optimization for minimum weight with compliance and stress constraints

By Matteo Bruggi, Pierre Duysinx. 2012

281 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Computational Theory and Mathematics, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/befe5ae3141c7165d04461960532a462a2203142

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In Civil and Structural Engineering

In Computational Theory and Mathematics

In Mechanics of Materials

Citations in the corpus

Topology optimization of energy absorbing structures with maximum damage constraint (2017, methodology): “It is worth mentioning that the rounding out design at the re-entrant corner to avoid the stress concentration, which is usually achieved in weight minimization with stress constraint formulation [37, 39], is not obtained here.”
Stress-based topology optimization using spatial gradient stabilized XFEM (2017, unknown): “In contrast to most stress-based optimization studies, which adopt the von Mises yield criterion, Bruggi and Duysinx (2012) focused on the Drucker-Prager failure criterion to take into account the behavior of pressure-dependent materials such as concrete, polymers, and composite structures.”
A survey of structural and multidisciplinary continuum topology optimization: post 2000 (2014, background): “Finally, Bruggi and Duysinx (2012) explored the case of minimum weight design with both compliance and stress constraints, which combines the strengths of both stiffness and stress-based design.”
Benchmarking optimization solvers for structural topology optimization (2015, background): “However, it is also possible, and sometimes desirable, to formulate topology optimization problems as minimizing the structural volume (or mass) subject to a compliance constraint (Bruggi and Duysinx 2012).”
Failure Mitigation in Optimal Topology Design Using a Coupled Nonlinear Continuum Damage Model (2014, result): “That paper was preceded earlier that year by two separate studies (one by Luo and Kang [11] the other by Bruggi and Duysinx [12]), in which both sets of authors used the Drucker-Prager yield criterion to enforce stress constraints in materials with asymmetric strength behavior in tension and compres”
Interior value extrapolation: a new method for stress evaluation during topology optimization (2015, methodology): “Local constraints have been used in smaller examples, see for example [5, 7].”
Stress-constrained topology optimization: a topological level-set approach (2013, background): “Alternately, active-set methodologies have also been proposed where a finite number of elements with the highest stress states are chosen to be active during a given iteration (Bruggi and Duysinx 2012; Zhang et al. 2012).”
Topology optimization with finite-life fatigue constraints (2017, methodology): “The two most common methods of dealing with the large number of constraints are active set strategies [14, 15] and constraint aggregation.”